Literature DB >> 19963208

Cortical thickness is influenced by regionally specific genetic factors.

Lars M Rimol1, Matthew S Panizzon, Christine Fennema-Notestine, Lisa T Eyler, Bruce Fischl, Carol E Franz, Donald J Hagler, Michael J Lyons, Michael C Neale, Jennifer Pacheco, Michele E Perry, J Eric Schmitt, Michael D Grant, Larry J Seidman, Heidi W Thermenos, Ming T Tsuang, Seth A Eisen, William S Kremen, Anders M Dale.   

Abstract

BACKGROUND: Although global brain structure is highly heritable, there is still variability in the magnitude of genetic influences on the size of specific regions. Yet, little is known about the patterning of those genetic influences, i.e., whether the same genes influence structure throughout the brain or whether there are regionally specific sets of genes.
METHODS: We mapped the heritability of cortical thickness throughout the brain using three-dimensional structural magnetic resonance imaging in 404 middle-aged male twins. To assess the amount of genetic overlap between regions, we then mapped genetic correlations between three selected seed points and all other points comprising the continuous cortical surface.
RESULTS: There was considerable regional variability in the magnitude of genetic influences on cortical thickness. The primary visual (V1) seed point had strong genetic correlations with posterior sensory and motor areas. The anterior temporal seed point had strong genetic correlations with anterior frontal regions but not with V1. The middle frontal seed point had strong genetic correlations with inferior parietal regions.
CONCLUSIONS: These results provide strong evidence of regionally specific patterns rather than a single, global genetic factor. The patterns are largely consistent with a division between primary and association cortex, as well as broadly defined patterns of brain gene expression, neuroanatomical connectivity, and brain maturation trajectories, but no single explanation appears to be sufficient. The patterns do not conform to traditionally defined brain structure boundaries. This approach can serve as a step toward identifying novel phenotypes for genetic association studies of psychiatric disorders and normal and pathological cognitive aging. Copyright 2010 Society of Biological Psychiatry. All rights reserved.

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Year:  2009        PMID: 19963208      PMCID: PMC3184643          DOI: 10.1016/j.biopsych.2009.09.032

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  40 in total

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9.  Word recognition in the human inferior temporal lobe.

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Journal:  Neuroinformatics       Date:  2007-11-13
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  67 in total

1.  Genetic and environmental influences of white and gray matter signal contrast: a new phenotype for imaging genetics?

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Thomas S Kubarych; Chi-Hua Chen; Lisa T Eyler; Bruce Fischl; Carol E Franz; Michael D Grant; Samar Hamza; Amy Jak; Terry L Jernigan; Michael J Lyons; Michael C Neale; Elizabeth C Prom-Wormley; Larry Seidman; Ming T Tsuang; Hao Wu; Hong Xian; Anders M Dale; William S Kremen
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Review 2.  Imaging genomics.

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3.  Further understanding of the comorbidity between Attention-Deficit/Hyperactivity Disorder and bipolar disorder in adults: an MRI study of cortical thickness.

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4.  Structural and Maturational Covariance in Early Childhood Brain Development.

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5.  Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade.

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7.  Genes contributing to subcortical volumes and intellectual ability implicate the thalamus.

Authors:  Marc M Bohlken; Rachel M Brouwer; René C W Mandl; Neeltje E M van Haren; Rachel G H Brans; G Caroline M van Baal; Eco J C de Geus; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
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8.  Heritable changes in regional cortical thickness with age.

Authors:  Francois Chouinard-Decorte; D Reese McKay; Andrew Reid; Budhachandra Khundrakpam; Lu Zhao; Sherif Karama; Pierre Rioux; Emma Sprooten; Emma Knowles; Jack W Kent; Joanne E Curran; Harald H H Göring; Thomas D Dyer; Rene L Olvera; Peter Kochunov; Ravi Duggirala; Peter T Fox; Laura Almasy; John Blangero; Pierre Bellec; Alan C Evans; David C Glahn
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9.  Conceptual and data-based investigation of genetic influences and brain asymmetry: a twin study of multiple structural phenotypes.

Authors:  Lisa T Eyler; Eero Vuoksimaa; Matthew S Panizzon; Christine Fennema-Notestine; Michael C Neale; Chi-Hua Chen; Amy Jak; Carol E Franz; Michael J Lyons; Wesley K Thompson; Kelly M Spoon; Bruce Fischl; Anders M Dale; William S Kremen
Journal:  J Cogn Neurosci       Date:  2013-11-27       Impact factor: 3.225

10.  Variability in frontotemporal brain structure: the importance of recruitment of African Americans in neuroscience research.

Authors:  Nneka Isamah; Warachal Faison; Martha E Payne; James MacFall; David C Steffens; John L Beyer; K Ranga Krishnan; Warren D Taylor
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